A review of information centric network-based internet of things: communication architectures, design issues, and research opportunities

Din, Ikram Ud; Asmat, Hamid; Guizani, Mohsen

doi:10.1007/s11042-018-6943-z

Cited by 49 publications

(24 citation statements)

References 64 publications

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“…Information-centric networking (ICN) [22][23][24][25] is considered a promising approach for Internet of Things [26][27][28]. Recently, a number of works have been investigated to explore the benefits of ICN for IoT [10,11,[29][30][31][32].…”

Section: Related Workmentioning

confidence: 99%

An Information-Centric Semantic Data Collection Tree for Wireless Sensor Networks

Dinh

Kim

2020

Sensors

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Data collection is an important application of wireless sensor networks (WSNs) and Internet of Things (IoT). Current routing and addressing operations in WSNs are based on IP addresses, while data collection and data queries are normally information-centric. The current IP-based approach incurs significant management overheads and is inefficient for semantic data collection and queries. To address the above issue, this paper proposes a semantic data collection tree (sDCT) construction scheme to build up a semantic data collection tree for wireless sensor networks. The semantic tree is rooted at the edge/sink and supports data collection tasks, queries, and configurations efficiently. We implement the sDCT in Contiki and evaluate the performance of the sDCT in comparison with the state-of-the-art scheme, 6LoWPAN/RPL and L2RMR, using telosb sensors under various scenarios. The obtained results show that the sDCT achieves a significant improvement in terms of the energy efficiency and the packet transmissions required for data collection or a query task compared to 6LoWPAN/RPL and L2RMR.

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Section: Related Workmentioning

confidence: 99%

An Information-Centric Semantic Data Collection Tree for Wireless Sensor Networks

Dinh

Kim

2020

Sensors

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“…The evolution towards DMM approaches has shown improvements in better use of network resources [11,12,13,14,15]. Additionally, future mobile networks will be driven by software, relying on emerging technologies such as SDN [16,17,18].…”

Section: Related Workmentioning

confidence: 99%

Towards a software-based mobility management for 5G: An experimental approach for flattened network architectures

Calle-Cancho¹,

Mendoza-Rubio

González-Sánchez³

et al. 2020

COMSIS J

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The number of mobile subscribers, as well as the data traffic generated by them, is increasing exponentially with the growth of wireless smart devices and the number of network services that they can support. This significant growth is pushing mobile network operators towards new solutions to improve their network performance and efficiency. Thus, the appearance of Software Defined Networking (SDN) can overcome the limitations of current deployments through decoupling the network control plane from the data plane, allowing higher flexibility and programmability to the network. In this context, the process of handling user mobility becomes an essential part of future mobile networks. Taking advantage of the benefits that SDN brings, in this article we present a novel mobility management solution. This proposal avoids the use of IP-IP tunnels and it adds the dynamic flow management capability provided by SDN. In order to analyse performance, an analytical model is developed to compare it with NB-DMM (Network-based DMM), one of the main DMM (Distributed Mobility Management) solutions. Additionally, performance is also evaluated with an experimental testbed. The results allow handover latency in real scenarios and numerical investigations to be measured, and also show that SR-DMM achieves better efficiency in terms of signaling and routing cost than NB-DMM solution.

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“…Internet Things (IoT) [1] provides a diverse opportunity to automate distinct domains, which include wireless sensor networks [2,3], home appliances [4,5], smart cities [6][7][8], healthcare [9][10][11][12][13], security and surveillance [14][15][16], energy consumption [17][18][19], agriculture automation [20], and many more [21][22][23][24][25]. The concept of a smart irrigation system [26] is proposed in the Cloud-based Internet of Agriculture Things (IoAT) [27] in which sensors gather the findings of soil and transmit it towards the base station (BS) to take the required actions [28].…”

Section: Introductionmentioning

confidence: 99%

AgriTrust—A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture Things

Awan

Din

Almogren

et al. 2020

Sensors

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Internet of Things (IoT) provides a diverse platform to automate things where smart agriculture is one of the most promising concepts in the field of Internet of Agriculture Things (IoAT). Due to the requirements of more processing power for computations and predictions, the concept of Cloud-based smart agriculture is proposed for autonomic systems. This is where digital innovation and technology helps to improve the quality of life in the area of urbanization expansion. For the integration of cloud in smart agriculture, the system is shown to have security and privacy challenges, and most significantly, the identification of malicious and compromised nodes along with a secure transmission of information between sensors, cloud, and base station (BS). The identification of malicious and compromised node among soil sensors communicating with the BS is a notable challenge in the BS to cloud communications. The trust management mechanism is proposed as one of the solutions providing a lightweight approach to identify these nodes. In this article, we have proposed a novel trust management mechanism to identify malicious and compromised nodes by utilizing trust parameters. The trust mechanism is an event-driven process that computes trust based on the pre-defined time interval and utilizes the previous trust degree to develop an absolute trust degree. The system also maintains the trust degree of a BS and cloud service providers using distinct approaches. We have also performed extensive simulations to evaluate the performance of the proposed mechanism against several potential attacks. In addition, this research helps to create friendlier environments and efficient agricultural productions for the migration of people to the cities.

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A review of information centric network-based internet of things: communication architectures, design issues, and research opportunities

Cited by 49 publications

References 64 publications

An Information-Centric Semantic Data Collection Tree for Wireless Sensor Networks

An Information-Centric Semantic Data Collection Tree for Wireless Sensor Networks

Towards a software-based mobility management for 5G: An experimental approach for flattened network architectures

AgriTrust—A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture Things

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